摘要
差分跳频(DFH)是一种新的高速短波通信体制,它利用相邻跳变频率的变化,而不是载频本身,来携带信息。跳变频率检测是实现DFH的关键技术之一。鉴于现代谱估计中MUSIC(MUltipleSIgnalClassification)算法具有高频率分辨率且对信号的初相位依赖性小的特点,本文首次将MUSIC算法用于DFH信号的频率检测,并对算法的性能和运算复杂度进行了讨论,最后给出了仿真结果。
The DFH (Differential Frequency Hopping) is a new kind of high-speed HF communication system, in which the change of two adjacent frequencies, instead of carrier frequency itself, bears the information of symbols. Frequency estimation is one of the key techniques in DFH communication system. The MUSIC (MUltiple SIgnal Classification) algorithm is characterized by high frequency resolution and low sensitivity to variations of initial phase. In the paper, a MUSIC based method is proposed for frequency estimation of DFH signal. The performance of the algorithm and the computational complexity are discussed in detail. Finally simulation results are also provided.
出处
《信息工程大学学报》
2004年第4期89-92,共4页
Journal of Information Engineering University
